Faculty Research Areas

Duke Statistical Science is distinguished by its leadership in the development of theory and methodology of modern, stochastic model-based statistical analysis and Bayesian methods, their integration with research in advanced scientific computation, and collaborative inter-disciplinary applications in many fields.

 

David L Banks, Professor of the Practice of Statistics
personal website http://www.stat.duke.edu/~banks/
Areas of Research: Data Mining, Risk Analysis

 

James O Berger, Arts & Sciences Professor of Statistics
personal website http://www.stat.duke.edu/~berger/
Areas of Research: Bayesian Statistics

 

Mine Çetinkaya-Rundel, Assistant Professor of the Practice
personal website http://www.isds.duke.edu/~mc301

 

Merlise A Clyde, Professor of Statistical Science
personal website http://www.stat.duke.edu/~clyde
Areas of Research: Experimental Design, High Dimensional Problems, Model Combination, Model Selection, Nonparametric Statistical Modelling

 

David B Dunson, Professor
personal website http://www.stat.duke.edu/~dunson/
Areas of Research: Bayesian Statistics, Complex Hierarchical and Latent Variable Modelling, Nonparametric Statistical Modelling, Model Selection, Statistical Modeling

 

Alan E Gelfand, Chair of the Department, James B Duke Professor of Statistical Science
personal website http://www.stat.duke.edu/~alan
Areas of Research: Bayesian Statistics

 

Katherine Heller, Assistant Professor
personal website http://stat.duke.edu/~kheller

 

Edwin S Iversen, Associate Research Professor of Statistical Science
personal website http://www.isds.duke.edu/~iversen
Areas of Research: Bayesian Statistics, Statistical Modeling

 

Fan Li, Assistant Professor of Statistical Science
personal website http://stat.duke.edu/~fl35
Areas of Research: Causal Inference, High Dimensional Problems, Missing Data Imputation, Model Selection

 

Li Ma, Assistant Professor
personal website http://www.stat.duke.edu/~lm186

 

Kari Lock Morgan, Assistant Professor of the Practice
personal website http://www.stat.duke.edu/~kfl5

 

Sayan Mukherjee, Associate Professor of Statistical Science
personal website http://www.stat.duke.edu/~sayan
Areas of Research: Bayesian Statistics, Dynamical Models, Geometry & Topology in Statistics, Graphical Models, High Dimensional Problems, Machine Learning, Manifold Learning, Nonparametric Statistical Modelling, Stochastic Processes and Random Fields, Time Series

 

Jerome P Reiter, Mrs. Alexander Hehmeyer Associate Professor of Statistical Science
personal website http://www.stat.duke.edu/~jerry
Areas of Research: Missing Data Imputation, Sampling and Survey Methods, Confidentiality, Causal Inference

 

Scott C Schmidler, Associate Professor of Statistical Science
personal website http://www.stat.duke.edu/~scs/
Areas of Research: Bayesian Statistics, Monte Carlo Methodology, Stochastic Processes and Random Fields, Graphical Models, Data Mining

 

Dalene K. Stangl, Professor of the Practice of Statistical Science
personal website http://www.stat.duke.edu/~dalene
Areas of Research: Bayesian Statistics

 

Surya T Tokdar, Assistant Professor
personal website http://www.stat.duke.edu/~st118/
Areas of Research: Asymptotics, Complex Hierarchical and Latent Variable Modelling, Nonparametric Statistical Modelling, Spatial Statistics

 

Mike West, Arts & Sciences Professor of Statistical Science, Director of Graduate Studies
personal website http://www.stat.duke.edu/~mw
Areas of Research: Bayesian Statistics, Complex Hierarchical and Latent Variable Modelling, Computer Models, Decision Theory, Dynamical Models, GPUs, Graphical Models, High Dimensional Problems, Machine Learning, Model Combination, Monte Carlo Methodology, Multiscale/Multiresolution Methods, Nonparametric Statistical Modelling, Prior Specification, Spatial Statistics, Statistical Modeling, Stochastic Processes and Random Fields, Time Series

 

Robert L Wolpert, Professor of Statistical Science
personal website http://www.stat.duke.edu/~rlw/
Areas of Research: Bayesian Statistics, Spatial Statistics, Statistical Modeling, Stochastic Processes and Random Fields